TY - JOUR T1 - Stop Reproducing the Reproducibility Crisis JF - eneuro JO - eNeuro DO - 10.1523/ENEURO.0032-23.2023 VL - 10 IS - 2 SP - ENEURO.0032-23.2023 AU - Christophe Bernard Y1 - 2023/02/01 UR - http://www.eneuro.org/content/10/2/ENEURO.0032-23.2023.abstract N2 - Crisis? What crisis? Is the lack of reproducibility a supertramp that disperses widely across science fields? Is it carelessness, or is it also intrinsic to life sciences as I shall argue? Lack of reproducibility is a big flag brandished by many, but what do they mean by it? Where does it originate from?These were the first questions that crossed my mind as, while in Liège, Belgium for a PhD defense, I was asked to give a talk on the reproducibility crisis. Rather than a formal presentation, we had an open discussion. This editorial is its outcome.According to Wikipedia’s definition of reproducibility, “results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated” (https://en.wikipedia.org/wiki/Reproducibility). The definition is thus very strict: the results must be replicable, which means that the same experimental conditions or data analysis method must be used. Finding similar results with different approaches is not replicability stricto sensu; it just gives more weight to a study and equates to generalizability. Most often there is a confusion between reproducibility of the conclusions and reproducibility of results.Modern neuroscience sometimes requires the development of homemade tools or the use of very expensive equipment. Consequently, some results cannot be replicated using the same experimental conditions. If we cannot perform the original experiments, we design different ones with the aim of obtaining the same conclusions. If we cannot obtain the same conclusions, it is tempting to conclude that it is a failure to reproduce. But failing to reproduce the conclusions does not mean that the original study was flawed.Failing to reproduce the conclusions is expected in science. It is even necessary to spawn discussions and for a … ER -